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We are looking for talented senior computer vision scientist to join our computer vision team at Intelligent Products (IP) group at Securitas Intelligent Services (SIS). The team is located in Malmö and is developing computer vision solutions for security purposes.
If you have experience in prototyping computer vision systems, have been working with huge amount of data, passionate about deep learning, and enjoy being challenged in a dynamic working environment, you can be our next colleague.
Responsibilities:
You will be responsible for designing, implementing, and testing of computer vision solutions for different applications like detection, recognition, and tracking of objects that learn from large amount of data to produce products that are accurate as well as flexible to scale.
Requirements:
Education: master, or PhD degree with relevant courses on image processing and computer vision
Experience in image processing and computer vision
Experience with machine learning
Proficient in programming of at least two languages like python, c/c++, etc.
Experience in opencv
Experience in deep learning tools like pytorch, keras, caffe
Being Pragmatic
Fluent in English
Nice to have:
Realtime computer vision
GPU programming
Database programming skills
Network programming skills
Cloud computing/storage experience
What we offer:
In SIS we not only offer an attractive financial package but provide you with the opportunity to work with one of the greatest network of surveillance cameras in the world, which challenges your skills to find new ways for processing huge amount of data and making sense of it.
You will be working with cutting edge technologies to develop solutions that impact security market in a global scale.
About Securitas
Securitas is a global knowledge leader in security. We base our protective services on customer-specific needs through different combinations of on-site, mobile and remote guarding, electronic security, fire and safety and corporate risk management. Everywhere from small stores to airports, our 335,000 employees are making a difference.
If you have question about the position you can contact Kamal Nasrollahi at [email protected].